# ggplotly(cases_1)
US %>% filter(Reported >= Sys.Date() - 60) %>% ggplot() + geom_col(aes(x=Reported,y=Deaths,fill=Deaths)) +
theme(axis.text.x = element_text(angle = 45)) +
labs(x="US Date Reported",y="Total Deaths",title=" US COVID-19: Deaths by Date")
# ggplotly(deaths_1)
JHU_US %>% filter(Date >= Sys.Date() -60) %>%
ggplot() + geom_col(aes(x=Date,y=na.omit(Recovered),fill=Recovered)) +
theme(axis.text.x = element_text(angle = 45)) +
labs(title="USA COVID-19: Accumulated Recoveries by Date",x="Date Reported",y="Total Cases") + scale_y_continuous(labels = scales::comma) +
scale_fill_gradient(labels = scales::comma)